BlueSky’s best feature is its ability to let total beginners interact with advanced R programmers in a productive way. The beginners quickly figure out how to point-and-click their way through analyses, oblivious to the fact that the R language is doing all the work behind the scenes. There’s no need for them to install R, that’s all done automatically when BlueSky is installed. That means that the frustrating R package management issue is handled automatically. Advanced users can use it to generate bug-free R programs that they can then modify to their heart’s content. I frequently find myself forgetting how to get a certain graphics feature when writing code for R’s popular ggplot2 package. I then use BlueSky’s menus to create the plot & show me the R code it wrote. I can then paste its code in where mine had been in my R script. If an organization has a unique way of doing a certain analysis, they can add it to the menus for their non-programming staff to use. Before choosing BlueSky, I studied the alternatives in great depth, and those reviews are on my website, r4stats.com. All of them offered a fairly wide range of statistical analyses, but BlueSky was the only one that included an extensive set of data management features. When analyzing data, we often spend more time getting it into the shape we need than we do actually creating statistical or machine learning models, so that's an important ability.